AIIA 2019

Call for Doctoral Consortium papers

Students are invited to apply for admission to the Doctoral Consortium to be held at the the AIIA 2019 conference which will take place in Rende, from the 19th to the 22nd of November 2019.

Submission Deadline: September 15th, 2019

The AIIA 2019 Doctoral Consortium provides an opportunity for Ph.D. students to explore and develop their research interests in the Artificial Intelligence field, in the broader sense, under the guidance of a panel of distinguished researchers from both academia and industry. Attending students will have the opportunity to present their work in a dedicated workshop and to share their work with other students in a similar situation and with senior researchers during a dedicated workshop. During the entire conference every student will be paired with a senior mentor (selected from the DC program committee) who will dedicate some time for interacting with the student. AIIA Doctoral Consortium main objectives are the following:

• Provide a supportive setting for feedback on students' current research and guidance on future research directions.
• Offer each student comments and fresh perspectives on their own work from faculty and students outside their own institution, taking advantage of mentorship opportunities.
• Promote the development of a supportive community of scholars and a spirit of collaborative research.
• Contribute to the conference goals through interaction with other researchers and conference events.

We accept contributions from students regularly enrolled in some Ph.D. program. Exceptions might include students not yet enrolled in a Ph.D. program, but that are strongly motivated to enroll in the near future. Every contribution should be in the form of up to 5 pages extended abstracts including references, in Springer LNCS format. In line with the main research track of the conference, the AIIA 2019 Doctoral Consortium welcomes submissions on research across all areas of AI, including (but not limited to) traditional topics such as machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multiagent systems.

Students with accepted extended abstracts are invited to give an oral presentation of their work during the Doctoral Consortium. The authors of the accepted extended abstracts are requested to attend the Doctoral Consortium and to register to the main conference.

Extended abstract submission, format and publication

Prepare an up to five-pages extended abstract describing your current or future research work (or on some specific issue) in the LNCS Proceedings Format. You should be the only author of the extended abstract and you should mention your advisor.

We allow two types of contributions:

1. Overview of the Ph.D. work, which should include: Introduction/Motivation, State of the Art, Problem Statement and Contributions, Research Methodology and Approach, Preliminary or Intermediate Results, Evaluation Plan, Conclusions (recommended for students in an early stage of the Ph.D.)
2. Presentation of one specific scientific achievement you have reached during the Ph.D. course. The contribution could have been already published in some other venue.

Extended abstracts will be evaluated by at least 2 members of the Doctoral Consortium Committee. The main evaluation criteria include originality of the work, scientific quality, validity of claims and clarity.

The DC Committee will assign a Best Ph.D. Paper award to the best contribution, by evaluating the subject described in the extended abstract.

Accepted extended abstracts will be possibly published on CEUR WS Proceedings upon request.

Extended abstract will be handled through Easychair at https://easychair.org/conferences/?conf=aiia2019

Important Dates

• Paper submission: September 15th, 2019
• Notification: October 5th, 2019
• Camera-ready extended abstracts due: November 5th, 2019
• Doctoral Consortium: 22 November 2019

Doctoral Consortium Chair

Marco Maratea, University of Genova

Programme Committee

• Francesco Amigoni, Politecnico di Milano
• Roberto Basili, University of Roma Tor Vergata
• Loris Bozzato, Fondazione Bruno Kessler
• Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST
• Carmine Dodaro, University of Calabria
• Roberto Micalizio, University of Turin
• Luca Oneto, University of Genoa
• Simone Paolo, Ponzetto University of Mannheim
• Luca Pulina, University of Sassari
• Luciano Serafini, Fondazione Bruno Kessler
• Stefano Tonetta, FBK-irst
• Mauro Vallati, University of Huddersfield